IP Library Granted Patent US 10,052,061
Granted Patent B2
US 10,052,061 · App. 15/792,678 · Granted Aug 21, 2018

Adjusting alarms based on sleep onset latency

Inventors: Roy J. Raymann (Campbell, CA); Wren N. Dougherty (San Francisco, CA); Divya Nag (Palo Alto, CA); Deborah M. Lambert (San Francisco, CA); Stephanie Greer (San Francisco, CA); Thomas R. Gruber (Santa Cruz, CA)
Assignee: APPLE INC.
A61B5/4809G06Q10/109G08B21/06H04L67/22H04M1/72566H04W4/005H04W4/70
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Quick Facts
Patent No.
US 10,052,061
App. No.
15/792,678
Granted
Aug 21, 2018
Kind
B2
Abstract

In some implementations, a mobile device can adjust an alarm setting based on the sleep onset latency duration detected for a user of the mobile device. For example, sleep onset latency can be the amount of time it takes for the user to fall asleep after the user attempts to go to sleep (e.g., goes to bed). The mobile device can determine when the user intends or attempts to go to sleep based on detected sleep ritual activities. Sleep ritual activities can include those activities a user performs in preparation for sleep. The mobile device can determine when the user is asleep based on detected sleep signals (e.g., biometric data, sounds, etc.). In some implementations, the mobile device can determine recurring patterns of long or short sleep onset latency and present suggestions that might help the user sleep better or feel more rested.

Claims (47)

1. A method comprising:

detecting, by a computing device, performance of sleep ritual activities associated with a user of the computing device, wherein the user's sleep ritual includes one or more activities that the user performs before going to bed;

determining, by the computing device, a first time based on that the user has performed the user's sleep ritual, wherein the first time is when the user intends to sleep;

detecting, by the computing device, biological signals corresponding to the user sleeping at a second time;

calculating, by the computing device, a sleep onset latency duration based on the first time and the second time;

determining, by the computing device, a historical sleep onset latency pattern based on the sleep onset latency;

calculating, by the computing device, an actual sleep duration based on the sleep onset latency duration;

generating, by the computing device, an adjustment suggestion when the sleep onset latency is of a short or long duration based on the actual sleep duration and the historical sleep onset latency pattern; and

presenting the adjustment suggestion on a display of the computing device.

2. The method of claim 1 , wherein the actual sleep duration is calculated from the user actually sleeping at the second time to a sleep end time, wherein the sleep end time is determined based on a scheduled alarm time.

3. The method of claim 1 , wherein the presenting includes presenting notification.

4. The method of claim 1 , wherein the sleep ritual activities include two or more activities that the user regularly performs before going to sleep.

5. The method of claim 1 , wherein the sleep ritual activities are detected using two or more distinct sensors of the computing device.

6. The method of claim 1 , wherein the first time corresponds to a third time when the sleep ritual activities end.

7. The method of claim 1 , wherein the sleep onset latency duration is calculated by determining a period of time between the first time and the second time.

8. A non-transitory computer-readable medium including one or more sequences of instructions that, when executed by one or more processors, causes:

detecting, by a computing device, performance of sleep ritual activities associated with a user of the computing device, wherein the user's sleep ritual includes one or more activities that the user performs before going to bed;

determining, by the computing device, a first time based on that the user has performed the user's sleep ritual, wherein the first time is when the user intends to sleep;

detecting, by the computing device, biological signals corresponding to the user sleeping at a second time;

calculating, by the computing device, a sleep onset latency duration based on the first time and the second time;

determining, by the computing device, a historical sleep onset latency pattern based on the sleep onset latency;

calculating, by the computing device, an actual sleep duration based on the sleep onset latency duration;

generating, by the computing device, an adjustment suggestion when the sleep onset latency is of a short or long duration based on the actual sleep duration and the historical sleep onset latency pattern; and

presenting the adjustment suggestion on a display of the computing device.

9. The non-transitory computer-readable medium of claim 8 , wherein the actual sleep duration is calculated from the user actually sleeping at the second time to a sleep end time, wherein the sleep end time is determined based on a scheduled alarm time.

10. The non-transitory computer-readable medium of claim 8 , wherein the presenting includes presenting notification.

11. The non-transitory computer-readable medium of claim 8 , wherein the sleep ritual activities include two or more activities that the user regularly performs before going to sleep.

12. The non-transitory computer-readable medium of claim 8 , wherein the sleep ritual activities are detected using two or more distinct sensors of the computing device.

13. The non-transitory computer-readable medium of claim 8 , wherein the first time corresponds to a third time when the sleep ritual activities end.

14. The non-transitory computer-readable medium of claim 8 , wherein the sleep onset latency duration is calculated by determining a period of time between the first time and the second time.

15. A system comprising:

one or more processors; and

a non-transitory computer-readable medium including one or more sequences of instructions that, when executed by the one or more processors, causes:

detecting, by a computing device, performance of sleep ritual activities associated with a user of the computing device, wherein the user's sleep ritual includes one or more activities that the user performs before going to bed;

determining, by the computing device, a first time based on that the user has performed the user's sleep ritual, wherein the first time is when the user intends to sleep;

detecting, by the computing device, biological signals corresponding to the user sleeping at a second time;

calculating, by the computing device, a sleep onset latency duration based on the first time and the second time;

determining, by the computing device, a historical sleep onset latency pattern based on the sleep onset latency;

calculating, by the computing device, an actual sleep duration based on the sleep onset latency duration;

generating, by the computing device, an adjustment suggestion when the sleep onset latency is of a short or long duration based on the actual sleep duration and the historical sleep onset latency pattern; and

presenting the adjustment suggestion on a display of the computing device.

16. The system of claim 15 , wherein the actual sleep duration is calculated from the user actually sleeping at the second time to a sleep end time, wherein the sleep end time is determined based on a scheduled alarm time.

17. The system of claim 15 , wherein the presenting includes presenting notification.

18. The system of claim 15 , wherein the sleep ritual activities include two or more activities that the user regularly performs before going to sleep.

19. The system of claim 15 , wherein the sleep ritual activities are detected using two or more distinct sensors of the computing device.

20. The system of claim 15 , wherein the first time corresponds to a third time when the sleep ritual activities end.

21. The system of claim 15 , wherein the sleep onset latency duration is calculated by determining a period of time between the first time and the second time.

Continuity (3)
Continuation 15590805 · May 9, 2017
Continuation 14871882 · Sep 30, 2015
Related Publication 20180042547A1 · Feb 15, 2018
Cited By (1)
US 12,285,269